Abstract
This paper presents a systematic investigation of the effects of sixteen recombination operators for real-coded spaces on the performance of Differential Evolution. A unified description of the operators in terms of mathematical operations of vectors is presented, and a standardized implementation is provided in the form of an R package. The objectives are to simplify the examination of similarities and differences between operators as well as the understanding of their effects on the population, and to provide a platform in which future operators can be incorporated and evaluated. An experimental comparison of the recombination operators is conducted using twenty-eight test problems, and the results are used to discuss possibly promising directions in the development of improved operators for differential evolution.
Original language | English |
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Title of host publication | GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference |
Editors | Tobias Friedrich |
Publisher | Association for Computing Machinery (ACM) |
Pages | 221-228 |
Number of pages | 8 |
ISBN (Electronic) | 9781450342063 |
DOIs | |
Publication status | Published - 20 Jul 2016 |
Event | 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 - Denver, United States Duration: 20 Jul 2016 → 24 Jul 2016 |
Publication series
Name | GECCO 2016 - Proceedings of the 2016 Genetic and Evolutionary Computation Conference |
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Conference
Conference | 2016 Genetic and Evolutionary Computation Conference, GECCO 2016 |
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Country/Territory | United States |
City | Denver |
Period | 20/07/16 → 24/07/16 |
Bibliographical note
Publisher Copyright:© 2016 ACM.
Keywords
- Differential evolution
- Experimental study
- R packages
- Recombination operators